System and method for relationship identification
AssigneeOath Inc.
InventorsSiddhartha Banerjee, Kostas Tsioutsiouliklis
Life of this patent
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Abstract
The present teaching relates to method, system, and medium for generating training data for generating a relationship identification model. Sentences are received as input. Each of the sentences is aligned with a fact previously stored to create an alignment. Confidence scores for the alignments are computed and then used, together with the alignments to train a relationship identification model.
Claims20
A method implemented on a machine having at least one processor, storage, and a communication platform for generating training data, comprising:
- receiving, via the communication platform, sentences as input;
- for each of the sentences,
- aligning the sentence with a representation of a fact previously stored to generate an alignment of the sentence with the fact, and
- computing a confidence score associated with the alignment;
- and
- generating a relationship identification model based on alignments of the sentences and their associated confidence scores.
Machine readable non-transitory medium having information recorded thereon for generating training data, wherein the information, when read by the machine, causes the machine to perform the following:
- receiving sentences as input;
- for each of the sentences,
- aligning the sentence with a representation of a fact previously stored to generate an alignment of the sentence with the fact, and
- computing a confidence score associated with the alignment;
- and
- generating a relationship identification model based on alignments of the sentences and their associated confidence scores.
A system for generating training data, comprising:
- an alignment unit configured for
- receiving sentences as input, and
- for each of the sentences, aligning the sentence with a representation of a fact previously stored to generate an alignment of the sentence with the fact;
- an alignment confidence determiner configured for computing a confidence score associated with each alignment;
- and
- a long-short term memory (LSTM)-based multi-encoder training unit configured for generating a relationship identification model based on alignments of the sentences and their associated confidence scores.
Dependencies are inferred from the claim text.